20220505
10522400
1.0
FALSE
GISOWNER.Urban_Growth_Boundary
002
3623670.230641
3801528.591787
685695.519144
741457.007358
1
0.004
Server=MAPS-SQL; Service=sde:sqlserver:MAPS-SQL; Database=mapssde; User=GISOWNER; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Louisiana_South_FIPS_1702_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS["NAD_1983_StatePlane_Louisiana_South_FIPS_1702_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",3280833.333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-91.33333333333333],PARAMETER["Standard_Parallel_1",29.3],PARAMETER["Standard_Parallel_2",30.7],PARAMETER["Latitude_Of_Origin",28.5],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",3452]]</WKT><XOrigin>-124791100</XOrigin><YOrigin>-91255500</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102682</WKID><LatestWKID>3452</LatestWKID></ProjectedCoordinateSystem>
ExportFeatures "Urban Growth Boundary" X:\Vertex\PROJECTS\PORTAL\EXTERNAL_maps\SQLServer-MAPS-SQL-mapssde(GISOWNER).sde\GISOWNER.Planning\GISOWNER.Urban_Growth_Boundary # NOT_USE_ALIAS "Id "Id" true true false 4 Long 0 10,First,#,Urban Growth Boundary,Id,-1,-1;Length "Length" true true false 8 Double 8 38,First,#,Urban Growth Boundary,Length,-1,-1;bearing "bearing" true true false 8 Double 8 38,First,#,Urban Growth Boundary,bearing,-1,-1;bd "bd" true true false 50 Text 0 0,First,#,Urban Growth Boundary,bd,0,49;bear "bear" true true false 8 Double 8 38,First,#,Urban Growth Boundary,bear,-1,-1;test "test" true true false 50 Text 0 0,First,#,Urban Growth Boundary,test,0,49;testt "testt" true true false 25 Text 0 0,First,#,Urban Growth Boundary,testt,0,24;Az "Az" true true false 8 Double 8 38,First,#,Urban Growth Boundary,Az,-1,-1;Urban_Grow "Urban_Grow" true true false 50 Text 0 0,First,#,Urban Growth Boundary,Urban_Grow,0,49;created_user "created_user" true true false 255 Text 0 0,First,#,Urban Growth Boundary,created_user,0,254;created_date "created_date" true true false 8 Date 0 0,First,#,Urban Growth Boundary,created_date,-1,-1;last_edited_user "last_edited_user" true true false 255 Text 0 0,First,#,Urban Growth Boundary,last_edited_user,0,254;last_edited_date "last_edited_date" true true false 8 Date 0 0,First,#,Urban Growth Boundary,last_edited_date,-1,-1" #
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><FeatureDataset>GISOWNER.Planning</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6839454d797a4355513062306e5931624f662f314e413548655774517744446e54516464454743694d7366593d2a00;ENCRYPTED_PASSWORD=00022e685952564835744d644a536e63334c71434d696f5557553775634d3452374d6f44616c6672484b3379574d6f3d2a00;SERVER=MAPS-SQL;INSTANCE=sde:sqlserver:MAPS-SQL;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=MAPS-SQL;DATABASE=mapssde;USER=GISOWNER;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>GISOWNER.Urban_Growth_Boundary</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><DeleteField><field_name>Id</field_name><field_name>Length</field_name><field_name>bearing</field_name><field_name>bd</field_name><field_name>bear</field_name><field_name>test</field_name><field_name>testt</field_name><field_name>Az</field_name></DeleteField></workflow></operationSequence>
20250425
11402000
20250428
14424000
150000000
5000
ItemDescription
Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.3.0.52636
Urban Growth Boundary
1
-90.246059
-89.679511
30.534357
30.375202
This layer represents the urban growth boundary data in St. Tammany Parish. Parish Impact Fee shall apply to residential property south of the Urban Growth Boundary It is updated by the Parish Planning & Development staff. It is to be used for general planning purposes.
<div style='text-align:Left;'><div><div><p style='text-align:Center;'><span style='font-weight:bold;font-size:16pt'>URBAN GROWTH BOUNDARY</span></p><p style='text-align:Center;'><span>(a) Title. This section shall be known and may be cited as the "St. Tammany Parish Impact Fee Ordinance."</span></p><p style='text-align:Center;'><span>(b) Authority. The parish council has the authority to adopt the ordinance codified herein pursuant to the parish Home Rule Charter and the state constitution of 1974.</span></p><p style='text-align:Center;'><span>(c) Application. The parish impact fee ordinance shall apply to all lands within the unincorporated portion of parish as follows:</span></p><p style='text-align:Center;'><span>(1) Any property that is located south of the urban growth boundary line, which is the area hereinafter defined as the "service area."</span></p><p style='text-align:Center;'><span>(2) In addition, this subdivision shall apply to any property located north of the urban growth boundary line and is zoned for nonresidential use or is zoned for an intensity of development of two dwelling units per acre or greater when said residential development requires the review and approval of the planning commission in accordance with the major subdivision process as defined in this section. </span></p></div></div></div>
©2025 St. Tammany Parish Government - Planning and Development Department - Carl Cleland (ccleland@stpgov.org)
©2025 St. Tammany Parish Government - GIS Division of the Department of Technology (gis@stpgov.org)
Last Updated: 09/2022
ugb
urban
growth
boundary
planning
<div style='text-align:Left;'><p style='text-align:Center;font-size:16ptmargin:0 0 11 0;'><span style='font-weight:bold;font-size:8pt'>For planning purposes only. It is not a legally recorded plan, survey, official tax map or engineering schematic, and it is not intended to be used as such.</span></p><p style='text-align:Center;font-size:16ptmargin:0 0 11 0;'><span style='font-size:8pt'>©2025 St. Tammany Parish Government - GIS Division of the Department of Technology</span></p></div>
Enterprise Geodatabase Feature Class
0.004
dataset
EPSG
8.9.3(10.0.0)
0
Simple
FALSE
0
TRUE
FALSE
GISOWNER.Urban_Growth_Boundary
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Id
Id
Integer
4
10
0
Length
Length
Double
8
38
8
bearing
bearing
Double
8
38
8
bd
bd
String
50
0
0
bear
bear
Double
8
38
8
test
test
String
50
0
0
testt
testt
String
25
0
0
Az
Az
Double
8
38
8
created_user
created_user
String
255
0
0
created_date
created_date
Date
8
0
0
last_edited_user
last_edited_user
String
255
0
0
last_edited_date
last_edited_date
Date
8
0
0
Urban_Grow
Urban_Grow
String
50
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20250428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